The End of Search, The Beginning of Research
The Wharton professor's much-cited essay explaining why AI research agents change the game vs. search, with a real example of a PhD-quality report generated in minutes.
Open oneusefulthing.org →3 questions founders actually ask, each with a straight answer and the resources worth your time.
Google gives you ten blue links and leaves the reading, comparing, and summarizing to you; AI tools like ChatGPT, Perplexity, and Claude read dozens of sources for you and hand back a direct, synthesized answer you can interrogate with follow-up questions. For a founder, that means a competitor scan, market-size estimate, or vendor comparison that used to take an afternoon of tab-hopping now takes minutes. Google still wins for quick lookups (an address, a price, a live score), AI wins whenever the real job is understanding, not finding.
The Wharton professor's much-cited essay explaining why AI research agents change the game vs. search, with a real example of a PhD-quality report generated in minutes.
Open oneusefulthing.org →A no-fluff answer to 'which AI should I actually use for what', including when to switch on web search and Deep Research modes, and what each tool costs.
Open oneusefulthing.org →A fast, practical demo of what AI-powered answers-with-citations look like vs. Googling, the quickest way to feel the difference yourself.
Open youtube.com →The Indian-born founder of Perplexity explains from first principles why answers-with-sources beat ten blue links, great founder-brain context on where search is heading.
Open lexfridman.com →Deep Research is a mode inside ChatGPT, Gemini, Perplexity, and Claude where the AI works for 10-30 minutes on its own, running dozens of searches, reading the sources, and returning a long, cited report instead of a quick chat reply. The trick is in the brief: give it context about your company and goal, say exactly what you want covered, name the kinds of sources to prefer, specify the output format, and answer its clarifying questions before it starts. Founders use it for competitor teardowns, market sizing, customer research, and pricing studies, think of it as a junior analyst whose work you still review.
An operator (ex-Meta/Uber/Rippling) compares ChatGPT, Gemini, Perplexity, Grok and Claude on real business research tasks and shares the exact prompting habits that fix their common failures, free in full.
Open operatorshandbook.com →A hands-on walkthrough by an AI consultant showing how to brief Deep Research properly and how the big three tools' outputs actually differ.
Open youtube.com →Nine concrete use cases with sample prompts and honest notes on each tool's limits, from a journalist who tests these tools for a living.
Open wondertools.substack.com →A widely shared first-person thread showing a clever trick: use a reasoning model to write your Deep Research brief first, then run it, with a worked example.
Open x.com →AI tools sometimes state wrong things with total confidence, including invented statistics, quotes, and sources, so treat every answer like a smart intern's draft, not a verdict. The practical routine: ask for sources and actually click them to confirm they say what the AI claims, ask the same question in a second AI tool and compare, push back with 'how confident are you, and what's the evidence?', and independently Google any number or fact you're about to put in a pitch deck, contract, or investor email. The higher the stakes (legal, financial, medical, fundraising), the more you verify by hand.
A tight, current checklist, lateral reading, pushing back, cross-checking across models, and verifying citations, you can adopt in one sitting.
Open forbes.com →A leading misinformation researcher turned his SIFT verification method into a copy-paste prompt toolkit that makes the AI fact-check claims against real sources, tested across ~1,000 prompts.
Open mikecaulfield.substack.com →A plain-English explainer of why AI makes things up, with concrete mitigation tactics and the cautionary real-world Mata v. Avianca fake-citations case.
Open mitsloanedtech.mit.edu →The mindset piece behind the toolbox: use AI to map the information landscape, then verify key claims yourself, the healthiest way to work with AI answers.
Open mikecaulfield.substack.com →